Triple
T6651740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nysa Kłodzka |
E150837
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Biała Głuchołaska
Biała Głuchołaska is a river in southwestern Poland that flows through the Sudetes region before joining the Nysa Kłodzka.
|
E609845
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Biała Głuchołaska | Statement: [Nysa Kłodzka, hasTributary, Biała Głuchołaska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biała Głuchołaska Context triple: [Nysa Kłodzka, hasTributary, Biała Głuchołaska]
-
A.
Głuszyna
Głuszyna is a locality in present-day Poland known as the birthplace of the 19th-century Polish explorer and geologist Paweł Edmund Strzelecki.
-
B.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
C.
Biała Lądecka
Biała Lądecka is a river in southwestern Poland that flows through the Kłodzko region before joining the Nysa Kłodzka.
-
D.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
E.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Biała Głuchołaska Triple: [Nysa Kłodzka, hasTributary, Biała Głuchołaska]
Generated description
Biała Głuchołaska is a river in southwestern Poland that flows through the Sudetes region before joining the Nysa Kłodzka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biała Głuchołaska Target entity description: Biała Głuchołaska is a river in southwestern Poland that flows through the Sudetes region before joining the Nysa Kłodzka.
-
A.
Głuszyna
Głuszyna is a locality in present-day Poland known as the birthplace of the 19th-century Polish explorer and geologist Paweł Edmund Strzelecki.
-
B.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
C.
Biała Lądecka
chosen
Biała Lądecka is a river in southwestern Poland that flows through the Kłodzko region before joining the Nysa Kłodzka.
-
D.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
E.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0458fb48190a76d8d1d6273a92b |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79642508190a2e3810e347f2e93 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8946b2c8190b18edff8523cf565 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f96c215081909e9d7a6e0a811f18 |
completed | March 27, 2026, 9:41 p.m. |
Created at: March 27, 2026, 2:01 p.m.